We used the following data set: atp_matches_2017, created by JeffSackMann on GitHub.
Here is a link to the dataset: https://github.com/JeffSackmann/tennis_atp/blob/master/atp_matches_2017.csv.
The dataset that we will be using for our analysis is not the same as the one we initially received, as multiple dataset manipulation techniques were used in Excel and in R. Look at Additional Work.
Here is a glimpse of our dataset:
Description of the response variable and its variable type
Description of the explanatory variables and the population coefficients you wish to understand using statistical inference
Hypothesis/hypotheses regarding your question of interest
Proposed methods to use for the analysis
Text to Columns function:Before:
image1 <- readPNG("after.png", native = TRUE, info = TRUE)
attr(image1, "info")
## $dim
## [1] 2880 1800
##
## $bit.depth
## [1] 8
##
## $color.type
## [1] "RGBA"
##
## $dpi
## [1] 143.9926 143.9926
After: